Page 4: Research news on multispectral imaging

Multispectral imaging is an optical acquisition method that records scene radiance or reflectance in multiple discrete spectral bands, typically spanning the visible, near-infrared, and sometimes shortwave infrared regions. Using bandpass filters, tunable filters, or sensor arrays with spectrally selective elements, it generates co-registered images where each band captures wavelength-dependent material properties. Quantitative analysis of these bands enables spectral feature extraction, classification, and segmentation based on differences in absorption, scattering, or fluorescence. In research, multispectral imaging is applied to non-destructive assessment, tissue characterization, remote sensing, and cultural heritage analysis, often serving as a lower-complexity, higher-throughput alternative to full hyperspectral imaging.

Sentinel-2 explores night vision

After more than 10 years in orbit, the first Copernicus Sentinel-2 satellite, Sentinel-2A, is still finding new ways to contribute to Earth observation. With its younger siblings, Sentinel-2B and Sentinel-2C, now leading ...

First sky map from NASA's SPHEREx observatory

NASA's SPHEREx Observatory has mapped the entire sky in 102 infrared colors, as seen here in this image released on Dec. 18, 2025. This image features a selection of colors emitted primarily by stars (blue, green, and white), ...

Turning everyday cameras into crop analysis tools

Agricultural producers and manufacturers often need information about crop attributes, from nutrient content to chemical composition, to make management decisions. In recent years, multispectral imaging has emerged as a useful ...

A tiny chip that can help us see deeper into space

A new imaging system could help us see deeper into the universe than ever before. The same powerful technology could also help us analyze the chemical makeup of everyday materials such as food and medicines much faster and ...

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